Unlocking Potential of Distributed Tracing for reducing MTTR

1. We will be starting our talk with how user can corelate frontend and backend traces with OpenTelemetry's header based approach i.e. b3, tracecontext etc.

2. As many users are already comfortable with the 1st part, We will be talking next about the usecases of this corelation in businesses. For example, how user can ....

a. Detect a slow page load due to backend latency
b. Identify if the E-commerce site is working slowly in a particular region

3. The 2nd part of talk focuses more on the rule based issue identification, which is limited by the number of prebuilt rules we can determine. So, In the last section, we will talk about how we can feed this data to LLM models and let AI to come up with possible root causes of any problem at hand.

Configure Stateful OpenTelemetry Processors in Kubernetes

Monitoring Kubernetes Clusters with OpenTelemetry is quite mainstream now, In this session we will dive deeper into how to work configure different stateful processors, i.e. Deduplication Processor / GroupByAttr Processor.

Usecases being ...
1. Dropping redundant data : That can help in saving ingestion + storage costs.
2. Aggregating Service-Level Insights : Distributed applications running on Kubernetes often generate scattered spans, With correct grouping of data we can also achieve tenant-aware monitoring
3. Better Alerting and Anomaly Detection :
Once data is free from redundancy (1st point) and have better co-relation (2nd point), The alerts will only be triggered once necessary.

In my talk, I'll cover how to achieve all the points mentioned above. Also, I have been working as a Staff Engineer in a SaaS Observability platform, so I can share some case studies, where we achieved better results with these configurations.

Using the powers of eBPF for Auto-Instrumentation

The session will focus on how eBPF can boost the Observability solutions, by covering the subtopics mentioned below ..

1. eBPF based Observability solutions are easier to setup compared to manual instrumentation, this will also include a small demo of OpenTelemetry Operator setup.

2. Along with traditional MELT data, eBPF can also help us track the network traffic.

3. How can we contribute to the eBPF based Observability solutions as a community ? i.e. There is a lot of scope for improvement in the existing solutions for compiled languages i.e. Golang

Organize Observability with Opentelemetry

The session will be around "How to leverage the power of opentelemetry collector", "How Opentelemetry makes it easier to standardize data formats", "How Opentelemetry based solutions can be easily integrated with many well-known tools"

Leverage Middleware for monitoring: Increase Development Efficiency by 50%

This session briefs about Leveraging middleware for monitoring to boost development efficiency by 50%. And how it empowers teams to focus more on innovation and less on troubleshooting, thereby driving significant productivity gains and ensuring smoother operations across complex IT environments.

https://youtu.be/mVogaXQXMus?si=V5Qk7dqkt4gTgrpR